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06/07 Divya
HR at Bharti Airtel Limited

Views:732 Applications:236 Rec. Actions:Recruiter Actions:25

Airtel - Lead Data Analyst - Product & Business Analytics Team (6-10 yrs)

Gurgaon/Gurugram Job Code: 1284292

About the Position:

We are looking for a Lead Data Analyst to join our Product & Business Analytics team at Airtel.

This role will be owning analytics for 1-2 divisions/pod. You will be expected to drive data driven decision making with senior management, manage multiple use case backed problem statements, GTM solutions and build perspective on how analytics can shape the pods vision/roadmap.

1. Manage multiple projects/problem statements in parallel

2. Maintain a high bar on analysis and quality of work

3. Understand the business nuances and go beyond the problem being solved

4. Effectively communicate workplan, timelines, dependencies and risks

5. Challenge the status quo and shape the analytics roadmap


- Develop an in-depth understanding of user journeys on Airtel Digital Channels and generate data driven insights & recommendations to help product/business in meticulous decision making

- Structures workstreams and drive clarity within the team and stakeholders

- Ability to take the larger vision for the organization and collaborate with stakeholders in building vision for respective product or program

- Work cross-functionally to define problem statements, collect data, build analytical models and make recommendations

- Enhance the solution design and proactively work with stakeholders

- Mentor junior team members and peers

Qualifications and Skills Requirements:

- B.Tech/BE degree in Computer Science/related technical field or Statistics/Operations Research background

- 5+ years of experience in core business analytics/product analytics

- Hands on experience on SQL, Python

- Past experience of working on large datasets (big data)

- Excellent with data visualization and strong understanding of Tableau, Superset

- Strong problem-solving skills and should be able to engage senior management with data

- Experience with data structures & feature modelling. Ability to effectively manage and communicate data mart plans to internal customers

- Effective communication skills and experience working across multiple teams will be a plus (data engineering, data analytics, product squads)

This job opening was posted long time back. It may not be active. Nor was it removed by the recruiter. Please use your discretion.

Women-friendly workplace:

Maternity and Paternity Benefits

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